This paper shows the importance of goal vectors G in measuring and dealing
with DEA inefficiencies. It emphasizes the advantages of the family of addi
tive relative to the traditional oriented DEA models and shifts the primary
emphasis to measuring inefficiency rather than efficiency. This new (raw)
inefficiency measure RIN incorporates both the traditional DEA efficiency a
nd the DEA slacks and provides the background for a new approach to the Mal
mquist Index. The final section points out some deficiencies in existing co
mputational procedures for selecting G and calls for continued research on
the selection process, as well as showing a role for G in returns to scale
studies.